The proceedings contain 20 papers. The topics discussed include: livestock detection based on convolutional neural network;cascaded multi-channel feature fusion for object detection;weakly supervised learning with dis...
ISBN:
(纸本)9781450388023
The proceedings contain 20 papers. The topics discussed include: livestock detection based on convolutional neural network;cascaded multi-channel feature fusion for object detection;weakly supervised learning with discrimination mechanism for object detection;face detection with improved face R-CNN training method;three channels for gray level co-occurrence matrix (GLCM) to detect acute lymphoblastic leukemia (ALL) images;semantic segmentation based on DeeplabV3+ with fractional-order image enhancement convolution kernel;weeds and crops classification using deep convolutional neural network;and an efficient and dynamical way for local feature extraction on point cloud.
This study proposes a dietary intake monitoring and nutrition assessment system for dialysis patients based on computervision technology, aiming to achieve automatic monitoring of dietary intake and accurate nutritio...
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The proceedings contain 22 papers. The topics discussed include: industrial ahu control improvements using fuzzy logic for energy efficiency and comfort;a hybrid nut sorting system: utilizing machine vision and augmen...
ISBN:
(纸本)9798331544546
The proceedings contain 22 papers. The topics discussed include: industrial ahu control improvements using fuzzy logic for energy efficiency and comfort;a hybrid nut sorting system: utilizing machine vision and augmented information for efficient human-robot collaboration;using sliding mode controller to trajectory tracking of the four Mecanum wheel mobile robot applied in automotive plants;balancing ground reaction forces on quadrupeds for simplified motion controller design;geometric control methods for on-orbit assembly of modular spacecraft cluster;generalized wavefront path planning;a self-aware robotic machining architecture based on physics-informed neural networks;and improved path planning algorithms to minimize turning costs for a differential-drive autonomous surface vehicle.
One of the most victorious strategies for slowing the spread of the COVID-19 virus has been proposed: social isolation. A computervision-based AI-assisted approach for aiding with social distance norms compliance is ...
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Video caption generation is an extremely challenging computervision task that automatically generates the caption for video clips with a clear understanding of the embedded semantics. Due to the extensive use of imag...
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In the field of construction, the application of Building Information Modeling (BIM) technology combined with computervision offers a promising avenue for enhancing the quality control and intelligent monitoring of v...
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[Objective] This study aims to design an automatic agricultural machinery identification system based on computervision, to address the issue of disorganized and chaotic labeling of some agricultural machinery produc...
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The research on the characteristics of power line carrier communication channel and the establishment of the model are the theoretical basis for the realization of high-speed data transmission on power line. Firstly, ...
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Animal detection in agricultural environments is a crucial component of modern farming practices, enabling farmers to monitor livestock, enhance security, and optimize resource management. This paper proposes a soluti...
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Models based on dynamic neural networks such as DeBERTa and vision Transformers ViT have disrupted the two fields. However, there is one complication - their performance requires so much computation which limits its r...
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